What is cluster sampling in research?
Understand the Problem
The question is asking for a definition and explanation of cluster sampling within the context of research methodologies. Cluster sampling is a type of probability sampling where researchers divide a population into smaller groups known as clusters. They then randomly select among these clusters to form a sample. This method is often used when the population is geographically dispersed or when it's impractical to create a complete sampling frame.
Answer
Cluster sampling divides a population into clusters and then randomly selects some clusters as the sample.
Cluster sampling is a probability sampling method where researchers divide a population into separate groups or clusters. Some of these clusters are then randomly selected to form the sample group.
Answer for screen readers
Cluster sampling is a probability sampling method where researchers divide a population into separate groups or clusters. Some of these clusters are then randomly selected to form the sample group.
More Information
Cluster sampling is often used when the population is large and spread out geographically.
Tips
A common mistake to avoid is not ensuring that the clusters are representative of the entire population, which can lead to biased results.
Sources
- Cluster Sampling: Definition, Method and Examples - simplypsychology.org
- What is cluster sampling? - Scribbr - scribbr.com
- Cluster Sampling: Methods, Advantages, Limitations, and Examples - quantilope.com
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